It is often said that

“We are surrounded by data but starved for insights.”

Data science and analytics both have a variety of applications across many industries and especially in healthcare.

Data science involves using the scientific method to transform raw data into useful information. It can involve several techniques such as machine-learning, data visualization, data-mining, and mathematics to develop insights into a particular thing.

Analytics is the study of data to look for meaningful patterns of information. It uses computer programming, statistics, and data-mining techniques to search for information. This is mainly used for decision making and takes form of Descriptive Analytics, Predictive Analytics and Prescriptive Analysis.

We need your problem statement and related data, rest we will do.